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Prevalence of Fundus Tessellation and Its Screening Based on Artificial Intelligence in Chinese Children: the Nanjing Eye Study

INTRODUCTION: To investigate the prevalence of fundus tessellation (FT), and the threshold for screening FT using an artificial intelligence (AI) technology in Chinese children. METHODS: The Nanjing Eye Study was a population-based cohort study conducted in children born between September 2011 and A...

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Autores principales: Huang, Dan, Qian, Yingxiao, Yan, Qi, Ling, Saiguang, Dong, Zhou, Ke, Xin, Tong, Haohai, Long, Tengfei, Li, Rui, Liu, Hu, Zhu, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441973/
https://www.ncbi.nlm.nih.gov/pubmed/37523125
http://dx.doi.org/10.1007/s40123-023-00773-2
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author Huang, Dan
Qian, Yingxiao
Yan, Qi
Ling, Saiguang
Dong, Zhou
Ke, Xin
Tong, Haohai
Long, Tengfei
Li, Rui
Liu, Hu
Zhu, Hui
author_facet Huang, Dan
Qian, Yingxiao
Yan, Qi
Ling, Saiguang
Dong, Zhou
Ke, Xin
Tong, Haohai
Long, Tengfei
Li, Rui
Liu, Hu
Zhu, Hui
author_sort Huang, Dan
collection PubMed
description INTRODUCTION: To investigate the prevalence of fundus tessellation (FT), and the threshold for screening FT using an artificial intelligence (AI) technology in Chinese children. METHODS: The Nanjing Eye Study was a population-based cohort study conducted in children born between September 2011 and August 2012 in Yuhuatai District of Nanjing. The data presented in this paper were obtained in 2019, when these children were 7 years old and underwent 45° non-mydriatic fundus photography. FT in whole fundus, macular area, and peripapillary area was manually recognized from fundus photographs and classified into three grades. Fundus tessellation density (FTD) in these areas was obtained by calculating the average exposed choroid area per unit area using artificial intelligence (AI) technology based on fundus photographs. The threshold for screening FT using FTD was determined using receiver operating characteristic (ROC) curve analysis. RESULTS: Among 1062 enrolled children (mean [± standard deviation] spherical equivalent: − 0.28 ± 0.70 D), the prevalence of FT was 42.18% in the whole fundus (grade 1: 36.53%; grade 2: 5.08%; grade 3: 0.56%), 45.57% in macular area (grade 1: 43.5%; grade 2: 1.60%; grade 3: 0.50%), and 49.72% in peripapillary area (grade 1: 44.44%; grade 2: 4.43%; grade 3: 0.85%), respectively. The threshold value of FTD for screening severe FT (grade ≥ 2) was 0.049 (area under curve [AUC] 0.985; sensitivity 98.3%; specificity 92.3%) in the whole fundus, 0.069 (AUC 0.987; sensitivity 95.5%; specificity 96.2%) in the macular area, and 0.094 (AUC 0.980; sensitivity 94.6%; specificity 94.2%) in the peripapillary area, respectively. CONCLUSION: Fundus tessellation affected approximately 40 in 100 children aged 7 years in China, indicating the importance and necessity of early FT screening. The threshold values of FTD provided by this study had high accuracy for detecting severe FT and might be applied for rapid screening. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40123-023-00773-2.
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spelling pubmed-104419732023-08-22 Prevalence of Fundus Tessellation and Its Screening Based on Artificial Intelligence in Chinese Children: the Nanjing Eye Study Huang, Dan Qian, Yingxiao Yan, Qi Ling, Saiguang Dong, Zhou Ke, Xin Tong, Haohai Long, Tengfei Li, Rui Liu, Hu Zhu, Hui Ophthalmol Ther Original Research INTRODUCTION: To investigate the prevalence of fundus tessellation (FT), and the threshold for screening FT using an artificial intelligence (AI) technology in Chinese children. METHODS: The Nanjing Eye Study was a population-based cohort study conducted in children born between September 2011 and August 2012 in Yuhuatai District of Nanjing. The data presented in this paper were obtained in 2019, when these children were 7 years old and underwent 45° non-mydriatic fundus photography. FT in whole fundus, macular area, and peripapillary area was manually recognized from fundus photographs and classified into three grades. Fundus tessellation density (FTD) in these areas was obtained by calculating the average exposed choroid area per unit area using artificial intelligence (AI) technology based on fundus photographs. The threshold for screening FT using FTD was determined using receiver operating characteristic (ROC) curve analysis. RESULTS: Among 1062 enrolled children (mean [± standard deviation] spherical equivalent: − 0.28 ± 0.70 D), the prevalence of FT was 42.18% in the whole fundus (grade 1: 36.53%; grade 2: 5.08%; grade 3: 0.56%), 45.57% in macular area (grade 1: 43.5%; grade 2: 1.60%; grade 3: 0.50%), and 49.72% in peripapillary area (grade 1: 44.44%; grade 2: 4.43%; grade 3: 0.85%), respectively. The threshold value of FTD for screening severe FT (grade ≥ 2) was 0.049 (area under curve [AUC] 0.985; sensitivity 98.3%; specificity 92.3%) in the whole fundus, 0.069 (AUC 0.987; sensitivity 95.5%; specificity 96.2%) in the macular area, and 0.094 (AUC 0.980; sensitivity 94.6%; specificity 94.2%) in the peripapillary area, respectively. CONCLUSION: Fundus tessellation affected approximately 40 in 100 children aged 7 years in China, indicating the importance and necessity of early FT screening. The threshold values of FTD provided by this study had high accuracy for detecting severe FT and might be applied for rapid screening. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40123-023-00773-2. Springer Healthcare 2023-07-31 2023-10 /pmc/articles/PMC10441973/ /pubmed/37523125 http://dx.doi.org/10.1007/s40123-023-00773-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Huang, Dan
Qian, Yingxiao
Yan, Qi
Ling, Saiguang
Dong, Zhou
Ke, Xin
Tong, Haohai
Long, Tengfei
Li, Rui
Liu, Hu
Zhu, Hui
Prevalence of Fundus Tessellation and Its Screening Based on Artificial Intelligence in Chinese Children: the Nanjing Eye Study
title Prevalence of Fundus Tessellation and Its Screening Based on Artificial Intelligence in Chinese Children: the Nanjing Eye Study
title_full Prevalence of Fundus Tessellation and Its Screening Based on Artificial Intelligence in Chinese Children: the Nanjing Eye Study
title_fullStr Prevalence of Fundus Tessellation and Its Screening Based on Artificial Intelligence in Chinese Children: the Nanjing Eye Study
title_full_unstemmed Prevalence of Fundus Tessellation and Its Screening Based on Artificial Intelligence in Chinese Children: the Nanjing Eye Study
title_short Prevalence of Fundus Tessellation and Its Screening Based on Artificial Intelligence in Chinese Children: the Nanjing Eye Study
title_sort prevalence of fundus tessellation and its screening based on artificial intelligence in chinese children: the nanjing eye study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441973/
https://www.ncbi.nlm.nih.gov/pubmed/37523125
http://dx.doi.org/10.1007/s40123-023-00773-2
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